数据管控双轨策略：SAP升级前优化数据规模·迁移后控制数据增长原创

All right let's let's kick it off first I would like to think the audience for joining our we are today right size your data footprint before'moving to rise and control its growth after.Here is the outline of our agenda today and I'm really excited to dive into these topics but first a couple of housekeeping items today's thirty minute web cast is being recorded and all registergistts will be sentens goinging to the recording and we will also include the presentation questions can be asset anytime VIA the chat function on the side of your screen and I'LL jump back in at the end of host q and a one thing to note there's a little toggle button right under the space where you type in your questions you can submit your response as anonymous or you can also feature your name so don't be shy to engage with us.All right my name is mariranda Burke I'm headed marketing here at e MP and your host for today I have the absolute pleasure to introduce my esteem colleague Joe bartalei who is our global head of go to marketing initiatives for data management opportunities and he is also our global alliance director Joe welcome up on stage and I will pass it on to you thank you.

Thanks Miranda appreciate it thank everyone for for joining us today what have you spend a few minutes kind of talking through what we're seeing in the market around how customers are working with data and the vast amount of data and their in their ecosystem.I think I through the ES war wise migration and prepare for that project so with that we'LL dive into some content.So you know there's many forces kind of driving enterprise data there's these macroeconomic you know dynamicms that are going on that required the agility to kind of respond whether it's you know um you know Russia whether it's the tariffs whether it's a storm in the gulf um whatever it may be that requires us to be able to to react um with um the projects to be able to address the business needs and then of course there's this trend compossible you know enterprise compossible enterprises that creates a lot of technology complexity.

And you know the business data is at the crossroad right there's a lot of things affecting this and reducing and managing the amount of data you're working with will create the agility that will'LL allow you to respond to these types of forces.So in the past the.In the past the projects were a little longer in duration you had you know mergers and acquisitions you have these carve Vs you have this kind of modernization efforts and they were kind of longer projects that were distinct um what we're finding you know nowadays because of these market dynamics and everything that's kind of coming at us the projects are becoming shorter and more frequent.And there're as's a constant cycle going on where you're moving kind of to the next project you're you know kind of moving and in this case around us four you're moving to us for you're having to you know planned it to go to s four you're then moving to s four and then how do you manage you know before that project and after that that project and as you become more frequent in those engagements in there's projects um as we discussed as the market dynamics create the need to be more agilele and to address more and more projects the ability to go through that plan move manage cycle is very important it's going to be a very quick process and again managing the amount of data and managing the data footprint directly affects your ability to have the agility to respond to their frequent small projects.

Now s and p's worked with some of the largest ss for transformmision projects in the market right so we'VE worked with companies with a hundred and sixty terby systems we'VE worked with companies um you know less than twenty tbites right all of them are trying to figure out how to work with the amount of dataated that they have and trying to manage that data proactively and whether it's before during or after the s four migration they're constantly trying to think of how to remove complexity and gain the agility that they will gain by reducing the amount of data andmaaging that data proactively.

Now you know what we find is with KA manage which is our portfolio of products within our kyoo footprint is our our kiano platform is that the data managements challenges our data volume and growth rate.Um there's you know how do you maintain access and transparent access to the data as you manage it there's risk and compliance so as you have that data volume and you have the growth of data some of that data volume that you're retaining potentially is due to risk and compliance some of the data that you're gaining is due to risk and compliance so you have to find the balanceance um there's also things like system transformations where you know things like s four um and rise migration that are creating the need to look at when you'VE got a hundred and sixty t by system how can I address that system transformation how do I address that s move and look at protively managing the amount of data that I bring forward and then how do I manage it before and after and then of course the vast hosting costs.

That are associated with these projects so moving a hundred and sixty terbide system to rise is somewhat harder to imagine given where hardware is today but the point is is that the the expense of that is immense and sometimes the amount of space required from a hardware perspective in in rise is prohibitive of actually making the move so if you were able to to take your system and cut it and half or reduce it by thirty percent it may allow you to get into a storage tier within rise that now makes the economics work for your project and allows you to now move forward whereas in the past the the hurdle to be able to to achieve moving to rise and getting into the right hardware platform was prohimbiive so this is a way to be able to potentially address that find yourself under a a threshold find yourself in the right hardware environment to make the math work to new forward with the next warage project.

Now let's talk a little bit about you know again that what the customers are are working through um when this data management again so we talk about before you know depending on how far away you are from the actual moved s a rise there could be ah an opportunity to work before the actual project and we'LL talk about some examples where customers have addressed data volume um in front of their move to rise and so whether you're eighteen months out or you're three months out there's certain projects that you can do to proactively address that data volume.And of course during the actual move process that the move to s eyes there could be techniques things like blue field that s that s NP is famous for that can help you address that data volume within the actual project but then once you go live how do you then address data volume growth management and.

Keep yourselfs and check for the environment that you'VE that you'VE assumed in your project you'VE got to a four terbby system and rise how do you stay within that four ter system so that a year later you weren't already crossing the next threshold to get higher and now you're expense becomes again prohibitive and now you're asking for additional budget when you you know had committed to not asking for any additional money after the project and of course if you'VE gone through a selective process what do you do with the donor system right so there's an opportunity to address things before.You data volume or data management before an this form move there's an opportunity to address it during the move and there's an opportunity to address it after it when you're in that manage and sustain process.Now.

Some of the things that we kind of talked about already is you know why before so why would you want to manage it before so SAP is very good at preaching you a data preparration before us for us so you talk about customer vendor in um vendor integration you have business partner preparation there's all sorts different projects that are going on in advance of n s war rise move.And we would say that one of those things should be as well addressing your data so if you can reduce that amount of data whether it's thea housekeeping for the technical items or it's through an aggressive archiveing schedule say you're taught ten months out you could actually address the footprint of the data and reduce that amount which then removes the complexity as you go forward with us or whether it be again the hardware equation whether itd be a down kind time equation or whether it be a just a a testing and review process of quality of your of your end users going through your u at less data a less time require allows them to be more thorough you know again infrastructure concert delaying our delay moves to e for us as we discuss.

The thresholds within rise environments could be cost prohibitive if you can find yourself in the ability to reduce your data footprint and find yourself on a smaller hardware footprint it may actually make the economics work from moving your rise faster you know again that rise contract is based upon a database size so again if you can reduce that database footprint required by ouriving and addressing database management upfront you could actually help with your wise license as well.Of course the business is asking is always asking to improve the data relevance you know improve the quality.Again if there's dataating in your system that's not off access or it's being held on to because of compliance reasons if you could remove that from this system and put it offline and still maintain access to it then you're removing data from the system and you're improving quality because now the end user isn't having to sif through ten years worth the history when the requirement or what they really work with on an everyday basis is three years worth of data.

Um of course there needs to be the ability to access data so there's always concern for the business always says we're you know the the it department says we need to reduce cost let's reduce the amount of data but then the business is always worried about how do we maintain access to that data from a reporting perspectives and and of course from at datain a governor's perspective you have to be able to maintain access to the data for audit and for those types of purposes and so you need to be able to have the access to the data and transparent access to the data and no matter what your opportunity is if you're if you're doing an advance of the project.And of course it's all about reducing TC so every every it organization on the planet is being asked to manage what they have and reduced that cost but of course they're doing that to make funds available for more innovative things whether it's AI analytics those sorts of things that are actually do driving revenue and transforming their business how do you reduce costs and repurased that there's funds there's limited funds to actually now gaining you know flexibility and gaining value from the it organization.

And the enterprise.So let's talk a little bit about some customers that have gone through that with s andp so with evident who's a manufacturing company in Japan they were part of the olympuss organization they were divested from the olympus organization and they had a ah a lot of SAP our excuse me historical data in their system so when they were moving to to s.They needed to look at that data and and determine what was relevant to them they had held on to a lot of old data um that wasn't relevant to the business anymore still need to to be accessed on ah on ah on a periodic basis but it wasn't an everyday type data and so to in order to reduce their database footprint they said let's get down and let's look at our top top eight objects archiveing objects and let's see if we can archive of the data and get some reduction and that's exactly what they did so they went to their their first eight archiveing objects.

They archives and a fairly aggressive manner and they had a thirty percent savings on their top one hundred tables so a massive amount of of difference for them and being able to remove again stale data if you will.Take that other system keep their system relevant to the current business environment but then still maintain access to that data as they needed to going forward of course that change the equation for them on s four it gave him a significant reduction and so now is a practice they're now actively manag that data volume management so in this case they managed it before to help with us for gained all the benefits of that and then after us for they and and rise they'd now became very atute at ourivving on a continual basis to manage that data volume growth so they could keep that hardware and check.

Now another one that we'VE worked with is united farmers of Alberta and Alberta Canada.In this case us they was moving to the cloud um this was a few years back with they were moving to ajurer and in this case they said we'VE got it you know right size our database footprint because you want to limit the amount of investment we need to make in asure we want to make the math work and so they said what could we do to kind kind of good through our system and archive of our system to get again.Older data out of the system maintain access to it but then make the equation correct for them moving forward to the cloud so that the environment they'VE built with azurere was rightized to the relevant data in this case they went through and and leveraged our koa outboard ERP for riving solution.And gain a twenty five percent savings and their database space so they had about six tbbo system they reduce that down to about a four terbbo system and then move that for terrabite system on to asure and of course now they're moving onto to Hanna and to s four and they're well on their journey they're now continually keeping a breast of their data volume growth and they're actively staying on top of the technical objects with housekeeping as well as leveraging outour to continue to look at other opportunities for them archive data.

My name is dylan Shaw I came to up work with a very specific AI specialization need I had no idea that up work was going to have this many candidates turn out for something so niche I feel confident I.Now let's talk a little bit about after the move to rise so we talked about how customers areing things and why they're addressing things before the move to as for rise nows talk about you know why after right so of course you must control your grip so once you'VE now made the move and you'VE gotten the rise you'VE gotten within that environment you'VE got the the economics correct you'VE got the right hardware platform now.

You want to stay within that as long as possible and so actively and proactively managing that.That environment and and and.Dealing with that data volume growth is very important a lot of people budget you know hey we're going to move to rise we're going to move to this two terbo system and this is our three to five year budget we're going to stay on the system well the only way to stay within that system is to proactively manage your data volume growth otherwise you're going to quickly find yourself outside of that and again going back to this CFO and ask you for money and we're they're going to not be happy with the fact that you'VE already blown past your budget and your original plan and they're going to ask what your plan and why aren't you controlling that.Um again there's concern for maintaining system maintaining system performance so a lot of times once we go alive with a system and help customers they're a blue fieldd implementation say they go live everyone's ecst static the system is as is pristine the data is fixed you know s andp and our process we are very very um big on the data quality and and fixing data equal as part of of the migration once you you migrate the end user and the users when they comes to the new system they're ecstatictic about how great it is how fast it is the last thing we want to do is keep on adding data volume cof and get it to our now you're impacting your hardware thresholds and now you'ing system performance and the customer and customer says hey wait it this thing was great six months ago what's happened it's gotten slower and slower as we'VE you know moved on if you PRO actively managing that growth then that could happen to you you could start um you finding yourself.

Impacting working space within Hanna right you want to stay within a balance again the next rise hereier is is a substantial investment so you want to stay within you know what you originally budgeted for that three to five years and try to stay there of course.

You know end customers are always asking you know how do I continue to satisfy our data governance's policies um so we'VE got to keep this data around but does it need to be active in our system again if it's active in our system it could be impacting our our end user experience it could be in impact your our end user and and our system performance so how do we how do we kind of work within that balance of course how do you reduce your technical debt again you'VE gone through and as four migration using the bluefield methodology right you know hybrid approach where we say takes a current.You have two years plus current and open items and bring it over to s four.What do you do with the system that was left behind that system still relevant that data is still relevant it's still going to be within that seven year period where you need to maintain financials so want to reduce that that system by decommissioning ah maintaining access to the data being able to allow to have the right governance and there you are.

看。Now let's talk through a little bit around Adobe so we we helped Adobe with ah ah ah a large system migration I think they'VE spoken pretty um um extensively about it but one hundred and fifty five terrabbo system move to an eighteen terbbo systems had'actually as part of the move we actually did a selective migration where they got to an eighteen tide system but again as soon as they went live they were immediately concerned about the hardware environment they they had purchased they wanted to stay within it they wanted to maintain their their system performance the customer and customer was and user was extremely excited about they wanted to stay within it and of course.Adobe also now was looking at what do we do at the system that we left behind it's a giant system when he went from one hundred and fifty five touts to eighteen think of the licensing and the hardware cost of associated with that system that's what they're working on now is now going through that process.

Um you know we had a a customer connectut corporation it's chemical company out of Japan that was at s for MIG they had some four six c systems where we pulled data from those four six c four six c systems as part of the migration to s and there'four six c systems were left behind what do you do with this systems we decommission using kyota data fridge we didcommission their solutions the customer gain the benefit of removing the hardware removing the SAP licensing associated with that data but still maintained access to that data.The and then so and then the last one that I wanted to talk through was around a large multimedia company that we worked with here in the United States.That um was all worried about was very worried about um was about risk so they had an old ecccc system they had moved to ES for there an old CCC e system there was around it was an older version it was sitting on older hardware and there were very concerned with the fact that that hardware was becoming was it was becoming end of life so they'were going to make an investment to get to new hardware and they were very concerned about the patching of the old SAP system the ECC system to maintain appliance the cost associated with maintaining that system and patching it as well as the potential of having to move to a new hardware.

Um became enough for them to say the risk is the benefit of decommissioning that data and decommissioning their systems was worth it the versus the risk associated withholding on to what they had and moving it forward so we are actually able to decommission these four systems.Got rid of the old hardbware got rid of the old systems and all the licensing um and at the end they had a custom module that they had built and with kiano data fride we are actually able to take the entire custom module that they had built we're able to decommission it we're able able to able to replicate the reports associated with those with that data maintain access to the data put retention against that data and allow them to continue continue to to access to as if it was still within the the production system if you will but obviously without any of the risk associated with old hardware and old system that they needed continually patch.

So.I know it's a quick go through of a run through of of you know some some things that we're seeing in the market a quick run through of a few examples I think it's important to kind of again taught through it's it's it's it's a matter of when whether it's before during or after really need to think about your data management plan and again it's you gained agility by reducing and managing that data proactively.Less data less complexity everything else becomes may much it's because much more agile because you're working with less you want to ah of course you want to adhere to data governance policies always maintain access to the data but think about that data governance policies in the light of managing your data volume if you can reduce data volume and still access to data and provide what you need to maintain governance and adhere to those policies that's a great move um of course we want to always look at how do we reduce the total cost of it so that we can repurase that funding and there's resources to more innovation projects where we can actually now make money.

And of course it's all about how do you start your next project now they're becoming more frequent they're shorter the economic forces are driving towards that how do you reduce that amount of data and start planning your project now so that you'are able to address it very quickly.With that I'LL pass it back to Miss Miranda.JO thank you you are such a fantastic speaker and your experience with all of our customers is is just so very helpful I love the timeline side at the beginning of your presentation where it shows where data management begins right which is all the time it's before during it and after it such a relevant topic on APP proactively manager data volume growth and staying within that balance you covered the topic perfectly um you go did mention um our Adobe reference I do do want to just kind of point this out we sent a number of our customers over to our flagship um it event in Heidelberg Germany it's s andp's very own transformation world we had all these fantastic customers up on stage front and center during the panel with panels engaging keynotees so we'LL make sure that we include um links to this a you are interested in diving deeper into those topics from norfer grmman and tea connecttivity Adobe and also hepsico all right with that.

Um let's just jump into q and a I see one that has come in from the audience so Joe how can how can I get started and get more information about the potential benefit of the kianos suite for my company my specific scenario and will you be we be covering that so so how can we um get them started yeah so so um you know as we're going to talked about um we're going to send out these slides um and the recording of the session VIA all the registergrs you'LL respond back to that email with a request to spend some time with us we'LL get on a call and spend thirty minutes kind of going through a discovery session kind of learn about your scenario and then there's various techniques we can leverage with our johnda foundation solution and others to actually begin to interrogate your system to be able to determine what potential um you know if it's an arch havinging if it's an arching scenario.

Potentially what benefit we can provide so we can start to uncover and and and show where the opportunity is and use that to charter course for continued conversation.

Fantastic thinks Joe we have another question from the audience can you touch on if and how you incorporate process mining intelligence to optimize processes and it's relevant for an organization's overall data management.Well I don't know that I can I don't know if I can address it from a process mining perspective I think you know again we'VE got.The ability to measure the system and determine some agility um and that's based about ah a lot of kpis that we'put together over the years within our organization and our fifteen thousand projects with SAP um I don't know that I can really accurately answer that question with respect to process mining and maybe that that would be a good followup with our solution architects that we can address that.

Agreed.All right any other questions from the audience today I cannot believe that we are actually on time we covered a lot of information in today's um presentation so um again if you have any further questions we will be happy to follow up with you would'd like to encourage the folks out there to please follow our social media we have linkedin we have Youtube great video assets on our Youtube channels I encourage everyone to go out there and give us a great follow um with that I will give everybody two minutes back um for today and they're lovely Wednesday Joe thank you so much for your time audience that you working with us today and wishing everyone a great rest your week.Thank you all appreciate it.